Internal Audit-Dallas-Associate-Data Analytics

Goldman Sachs - Dallas, TX

Full-time - Entry Level

Dallas, TX

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Internal Audit - Embedded Data Analytics Associate at Goldman Sachs plays a crucial role in assessing the firm's internal control structure and governance processes. This position focuses on executing data analytics strategies within audit responsibilities, enhancing audit efficiency, and developing innovative solutions to complex problems. The role requires collaboration with audit teams to identify risks and improve audit testing through automation and analytical tools.

Responsibilities

• Execute on DA strategy developed by IA management within the context of audit responsibilities, such as risk assessment, audit planning, creation of reusable tools and providing innovative solutions to complex problems
• Partner with audit teams to help identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing
• Build production ready analytical tools to automate repeatable and reusable processes within IA
• Build and manage relationships and communications with Audit team members

Requirements

• 3-6 years of experience with a minimum of Bachelor's in Computer Science, Math, or Statistics
• Experience with RDBMS/ SQL
• Proficiency in programming languages, such as Python, Java, or C++
• Knowledge of basic statistics, including descriptive statistics, data distribution models, Time Series Analysis, correlation, and regression, and its application to data
• Strong team player with excellent communication skills (written and oral)
• Strong contributing member of Data Science team and help build analytical capabilities for Internal Audit Division
• Driven and motivated and constantly taking initiative to improve performance
• Experience with advanced data analytics tools and techniques
• Familiarity with text analytics and NLP using python
• Familiarity with machine learning algorithms and exposure to supervised and unsupervised learning - Linear/Logistic Regression, SVM, Random Forest and Boosting, Clustering and Patterns Recognition techniques
• Experience with analytical/ statistical programs such as SAS, SPSS, and R
• Experience with visualization tools (Spotfire, Qlikview or Tableau) is a plus
• Creativity/Innovation, i.e., ability to create new ways to improve current processes and develop practical solutions that add value to department

Nice-to-haves

• Experience with visualization tools (Spotfire, Qlikview or Tableau) is a plus

Benefits

• Collaborative workspaces
• Ergonomic services
• Wellbeing and resilience offerings
• Flexibility and support for personal and professional goals